Triple
T21354610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daren Kagasoff |
E526582
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ouija |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ouija | Statement: [Daren Kagasoff, notableWork, Ouija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouija Context triple: [Daren Kagasoff, notableWork, Ouija]
-
A.
Ouija
chosen
Ouija is a 2014 supernatural horror film centered on a group of friends who unwittingly unleash a malevolent spirit after using a Ouija board.
-
B.
Mr. Ouija
"Mr. Ouija" is a dark, atmospheric hip-hop track by Bone Thugs-N-Harmony that showcases their rapid-fire flows and occult-themed lyrics.
-
C.
Ouija: Origin of Evil
Ouija: Origin of Evil is a 2016 supernatural horror film that serves as a prequel to the 2014 movie Ouija, focusing on a family whose fake seance business unleashes a real and malevolent spirit.
-
D.
Boogeyman
Boogeyman is a 2005 supernatural horror film about a man confronting the childhood monster he believes killed his father.
-
E.
Seance
"Seance" is a notable painting by Hyman Bloom that reflects his fascination with spiritualism and the macabre through vivid, expressionistic imagery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8af9be3a48190aa8e6e9a5b812981 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:06 p.m.